Data Analytics Engineer

The Business Enablement Team (BET) within META Reality Labs is looking for a Data Analytics Engineer with deep technical and functional understanding and expertise of supply chain for the consumer electronics industry with an emphasis on global Channel Operations. Channel Operations is a function within the Customer Inventory Operations in Reality Labs that is responsible for managing and optimizing the distribution channels through which products or services are sold. This includes developing and implementing strategies to improve channel performance, managing relationships with channel partners, and ensuring that products or services are delivered effectively and efficiently to customers through these channels.

As a data analytics engineer on the BET team at Meta, you'll help build cutting-edge full-stack technologies that will transform the way people and businesses connect and communicate. You'll help develop industry-leading solutions that power next-generation, large-scale platforms to help connect billions of people around the world.

Responsibilities:

• Design, develop, integrate, maintain, build, and launch collections of data models, queries, reports and visualizations that support multiple use cases for Channel and Customer Operations.
• Lead data and analytics within Channel and Customer Operations and XFN squads, engineers, business owners, solution leads, and data scientists to understand data needs, representing key data insights in a meaningful way.
• Collaborate with data architecture teams to conceptualize multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
• Conduct unit tests and develop database queries to analyze the effects and troubleshoot any issues.
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
• Mentor team members by giving/receiving actionable feedback.

This role offers an opportunity to work on cutting-edge technologies and contribute to large-scale platforms that connect billions of people worldwide.